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This paper present a simulation strategy for DNS of turbulent co-currentTaylor bubble flow. This is a continuation of the work presented in [2] inwhich Large Eddy Simulation (LES) of co-current turbulent Taylor bubble flowwas presented. It was observed that one of the main challenges is thephysically accurate prediction of the behavior of the Taylor bubble skirt, andthe related bubble shedding. An underestimation of the turbulent fluctuationsin the wake of the Taylor bubble was observed in the LES results. It wassuggested that this is related to over-prediction of the loss of void of theTaylor bubble due to bubble shedding induced by an LES mesh resolution which isnot sufficient to capture the break-up and bubble formation accurately. Tocounter this, in the current work we present a DNS approach of co-currentturbulent Taylor bubble flow called RK-Basilisk, based on the Basilisk codewith local adaptive grid refinement. This strategy allows for very high meshresolution near the bubble's interface while elsewhere the grid is allowed tobe coarser. Each time step, the mesh is adapted based on a void fractioncriterion. Basilisk's underlying data structure which is based on an 'octree'allows for much faster solution procedures and, therefore, a much greaternumber of grid points as compared to the LES simulations which were performedusing the more general OpenFOAM code. We compare the results againstexperimental data of the same setting, as well as the co-current LES OpenFOAMresults. The setting of turbulent Taylor bubble flow in co-current conditionsallows for both lower order turbulence model development and the validation ofmore general two-phase modeling strategies. Taylor bubble flow in itself alsobears relevance to specific two-phase flow situations. The current workcontributes to an advancement in simulation capability for such situations.

Towards direct numerical simulation of turbulent co-current Taylor bubble flow